The prognostic capacity of the diffusion tensor imaging measures fractional anisotropy (FA) and mean diffusivity (MD) to detect mild cognitive impairment (MCI) progression to Alzheimer's disease (AD) was assessed in 135 MCI patients and 72 healthy subjects over a median follow-up of 40 months. Forty-nine MCI patients (36.3%) developed AD. The factors MD left hippocampus, FA left cingulate, and FA left hippocampus emerged as predictors of progression. Age (hazard ratio [HR] 1.21), delayed text recall (HR 0.89), FA left uncinate (HR 1.90), FA left hippocampus (HR 2.21), and carrying at least one ApoE4 allele (HR 2.86) were associated with a high conversion rate. FA measures revealed the greatest discriminative capacity (Harrell's C = 0.73 versus 0.65 without FA; p = 0.034). The inclusion of FA structural connectivity data in our model improved discrimination between subjects with MCI progressing or not to dementia.

中文翻译：

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脑连接的扩散张量成像测量对阿尔茨海默氏病的早期诊断。

在中位随访期间，对135名MCI患者和72名健康受试者的弥散张量成像测量分数各向异性（FA）和平均弥散性（MD）检测轻度认知障碍（MCI）进展为阿尔茨海默氏病（AD）的预后能力进行了评估。长达40个月。四十九例MCI患者（36.3％）患上AD。MD左海马，FA左扣带回和FA左海马的因素已成为进展的预测因子。年龄（危险比[HR] 1.21），延迟文本回想（HR 0.89），FA左链不融合（HR 1.90），FA左海马（HR 2.21）和携带至少一个ApoE4等位基因（HR 2.86）与高发相关。兑换率。FA测量显示最大的判别能力（Harrell的C = 0.73，无FA的0.65； p = 0.034）。